Role & responsibilities

Leading data science workstreams that turn raw information into actionable business insights for client engagements

- Managing project scope, timelines, and deliverables while coordinating resources and reviewing progress against client objectives
- Guiding teams in exploratory analysis, statistical modeling, and descriptive analytics using SQL and core domain data skills
- Applying machine learning, predictive modeling, and data mining techniques to solve complex business problems
- Developing data pipelines, data models, and data quality checks that support reliable analytics and reporting
- Translating business questions into analytical approaches, measurable outputs, and practical recommendations
- Reviewing technical work, coaching team members, and tailoring feedback to strengthen delivery and grow analytical skills
- Using AI tools, data engineering concepts,



and visualization methods to improve analysis workflows and presentation of findings

What Sets You Apart
- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Demonstrating SQL analysis across large, complex data sets
- Leading data science workstreams and mentoring junior team members
- Translating business needs into analytical findings and actions
- Applying machine learning, statistical modeling, and predictive methods
- Navigating client discussions and resolving delivery issues professionally

📌 Data Analysis - SQL + Core Domain Data skills - Manager (Bengaluru)
🏢 PwC
📍 Bengaluru